Bibliographic record
Abstract
The Lions' Gate Suspension Bridge, a landmark structure in Vancouver, British Columbia, marks the entrance to one of the busiest harbors on the west coast of North America. The three-lane crossing accommodates approximately 70,000 vehicles a day. The bridge is undergoing a major renovation. The new suspended structure is designed to be installed in 20 m lengths, progressing from north to south, during closures between 8 P.M. and 6 A.M. and over a few weekends. Replacing the suspended structure in sections allows continued use of the bridge throughout the reconstruction during all peak periods. While the design significantly widened the bridge to provide safer traffic lane and sidewalk widths, added traffic barriers, and provided a proper wearing surface, the most challenging aspect was maintaining the same light weight in the new structure as in the existing one, which prevents deformations during construction. The cost of the reconstruction work on the bridge is estimated at Can$66 millionn (U.S.$44 million). The figure for the overall conntract, Can$86.5 million (U.S.$58 million), includes the additional work of widening a causeway road, installing a new drainage system, seismically upgrading the viaduct that forms the north approach, and replacing the electrical lane-control system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.715 | 0.701 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".